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Ma J, Jiang Z, Yan Q, Lv A, Li Y, Yang S. Structural and functional analysis of SpGlu64A: a novel glycoside hydrolase family 64 laminaripentaose-producing β-1,3-glucanase from Streptomyces pratensis. FEBS J 2024; 291:2009-2022. [PMID: 38380733 DOI: 10.1111/febs.17094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 01/05/2024] [Accepted: 02/02/2024] [Indexed: 02/22/2024]
Abstract
Laminaripentaose (L5)-producing β-1,3-glucanases can preferentially cleave the triple-helix curdlan into β-1,3-glucooligosaccharides, especially L5. In this study, a newly identified member of the glycoside hydrolase family 64, β-1,3-glucanase from Streptomyces pratensis (SpGlu64A), was functionally and structurally characterized. SpGlu64A shared highest identity (30%) with a β-1,3-glucanase from Streptomyces matensis. The purified SpGlu64A showed maximal activity at pH 7.5 and 50 °C, and exhibited strict substrate specificity toward curdlan (83.1 U·mg-1). It efficiently hydrolyzed curdlan to produce L5 as the end product. The overall structure of SpGlu64A consisted of a barrel domain and a mixed (α/β) domain, which formed an unusually wide groove with a crescent-like structure. In the two complex structures (SpGlu64A-L3 and SpGlu64A-L4), two oligosaccharide chains were captured and the triple-helical structure was relatively compatible with the wide groove, which suggested the possibility of binding to the triple-helical β-1,3-glucan. A catalytic framework (β6-β9-β10) and the steric hindrance formed by the side chains of residues Y161, N163, and H393 in the catalytic groove were predicted to complete the exotype-like cleavage manner. On the basis of the structure, a fusion protein with the CBM56 domain (SpGlu64A-CBM) and a mutant (Y161F; by site-directed mutation) were obtained, with 1.2- and 1.7-fold increases in specific activity, respectively. Moreover, the combined expression of SpGlu64A-CBM and -Y161F improved the enzyme activity by 2.63-fold. The study will not only be helpful in understanding the reaction mechanism of β-1,3-glucanases but will also provide a basis for further enzyme engineering.
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Affiliation(s)
- Junwen Ma
- Key Laboratory of Food Bioengineering (China National Light Industry), College of Engineering, China Agricultural University, Beijing, China
| | - Zhengqiang Jiang
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Qiaojuan Yan
- Key Laboratory of Food Bioengineering (China National Light Industry), College of Engineering, China Agricultural University, Beijing, China
- College of Food Science and Engineering, Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing University of Finance and Economics, China
| | - Ang Lv
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Yanxiao Li
- Key Laboratory of Food Bioengineering (China National Light Industry), College of Engineering, China Agricultural University, Beijing, China
| | - Shaoqing Yang
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
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2
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Tian G, Huo M, Yang X, Mao K, Liu X, Sang Y, Li J. Amino acid regulated citrus pectin-based emulsion stability mediated by pH. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2023; 103:6912-6919. [PMID: 37319235 DOI: 10.1002/jsfa.12788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 05/16/2023] [Accepted: 06/15/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND Citrus residuals are rich in nutrients like pectin, essential oil, and amino acids, which are wasted in the food industry. Moreover, citrus components often coexist with amino acids during emulsion preparation and application. RESULTS Adding glutamic or arginine after emulsification resulted in a stable emulsion compared with adding them before emulsification. Adding glycine before or after emulsification had no effect on the emulsion stability. Emulsion stability was improved by adding glutamic acid at pH 6. Ionic interaction and hydrogen bonding were the main forms of bonding. The rhamnogalacturonan II domain was the potential binding site for the amino acids. CONCLUSIONS The emulsions prepared by adding acidic amino acids or basic amino acids after emulsification were stable relative to those in which the amino acids were added before emulsification. However, the order in which neutral amino acids were added did not affect the emulsion stability after storage for 7 days. With an increase in the pH level, droplet size increased and emulsion stability decreased. All the results could be attributed to changes in the structure and properties of citrus pectin, as well as the interaction between citrus pectin and amino acids. This study may expand the application of citrus-derived emulsions in the food industry. © 2023 Society of Chemical Industry.
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Affiliation(s)
- Guifang Tian
- College of Food Science and Technology, Hebei Agricultural University, Baoding, China
| | - Man Huo
- College of Food Science and Technology, Hebei Agricultural University, Baoding, China
| | - Xiaohan Yang
- College of Food Science and Technology, Hebei Agricultural University, Baoding, China
| | - Kemin Mao
- College of Food Science and Technology, Hebei Agricultural University, Baoding, China
| | - Xiaohan Liu
- College of Food Science and Technology, Hebei Agricultural University, Baoding, China
| | - Yaxin Sang
- College of Food Science and Technology, Hebei Agricultural University, Baoding, China
| | - Jiangtao Li
- College of Life Sciences, Hebei Agricultural University, Baoding, China
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3
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Abstract
Glycoscience assembles all the scientific disciplines involved in studying various molecules and macromolecules containing carbohydrates and complex glycans. Such an ensemble involves one of the most extensive sets of molecules in quantity and occurrence since they occur in all microorganisms and higher organisms. Once the compositions and sequences of these molecules are established, the determination of their three-dimensional structural and dynamical features is a step toward understanding the molecular basis underlying their properties and functions. The range of the relevant computational methods capable of addressing such issues is anchored by the specificity of stereoelectronic effects from quantum chemistry to mesoscale modeling throughout molecular dynamics and mechanics and coarse-grained and docking calculations. The Review leads the reader through the detailed presentations of the applications of computational modeling. The illustrations cover carbohydrate-carbohydrate interactions, glycolipids, and N- and O-linked glycans, emphasizing their role in SARS-CoV-2. The presentation continues with the structure of polysaccharides in solution and solid-state and lipopolysaccharides in membranes. The full range of protein-carbohydrate interactions is presented, as exemplified by carbohydrate-active enzymes, transporters, lectins, antibodies, and glycosaminoglycan binding proteins. A final section features a list of 150 tools and databases to help address the many issues of structural glycobioinformatics.
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Affiliation(s)
- Serge Perez
- Centre de Recherche sur les Macromolecules Vegetales, University of Grenoble-Alpes, Centre National de la Recherche Scientifique, Grenoble F-38041, France
| | - Olga Makshakova
- FRC Kazan Scientific Center of Russian Academy of Sciences, Kazan Institute of Biochemistry and Biophysics, Kazan 420111, Russia
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4
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Teruya K, Doh-Ura K. Therapeutic development of polymers for prion disease. Cell Tissue Res 2022; 392:349-365. [PMID: 35307792 DOI: 10.1007/s00441-022-03604-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 02/24/2022] [Indexed: 12/20/2022]
Abstract
Prion diseases, also known as transmissible spongiform encephalopathies, are caused by the accumulation of abnormal isoforms of the prion protein (scrapie isoform of the prion protein, PrPSc) in the central nervous system. Many compounds with anti-prion activities have been found using in silico screening, in vitro models, persistently prion-infected cell models, and prion-infected rodent models. Some of these compounds include several types of polymers. Although the inhibition or removal of PrPSc production is the main target of therapy, the unique features of prions, namely protein aggregation and assembly accompanied by steric structural transformation, may require different strategies for the development of anti-prion drugs than those for conventional therapeutics targeting enzyme inhibition, agonist ligands, or modulation of signaling. In this paper, we first overview the history of the application of polymers to prion disease research. Next, we describe the characteristics of each type of polymer with anti-prion activity. Finally, we discuss the common features of these polymers. Although drug delivery of these polymers to the brain is a challenge, they are useful not only as leads for therapeutic drugs but also as tools to explore the structure of PrPSc and are indispensable for prion disease research.
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Affiliation(s)
- Kenta Teruya
- Department of Neurochemistry, Tohoku University Graduate School of Medicine, Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan
| | - Katsumi Doh-Ura
- Department of Neurochemistry, Tohoku University Graduate School of Medicine, Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan.
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5
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Scherbinina SI, Frank M, Toukach PV. Carbohydrate structure database (CSDB) oligosaccharide conformation tool. Glycobiology 2022; 32:460-468. [PMID: 35275211 DOI: 10.1093/glycob/cwac011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Revised: 02/17/2022] [Accepted: 03/04/2022] [Indexed: 11/13/2022] Open
Abstract
Population analysis in terms of glycosidic torsion angles is frequently used to reveal preferred conformers of glycans. However, due to high structural diversity and flexibility of carbohydrates, conformational characterization of complex glycans can be a challenging task. Herein we present a conformation module of oligosaccharide fragments occurring in natural glycan structures developed on the platform of the Carbohydrate Structure Database (CSDB). Currently, this module deposits free energy surface and conformer abundance maps plotted as a function of glycosidic torsions for 194 inter-residue bonds. Data are automatically and continuously derived from explicit-solvent molecular dynamics (MD) simulations. The module was also supplemented with high-temperature MD data of saccharides (2403 maps) provided by GlycoMapsDB (hosted by GLYCOSCIENCES.de project). Conformational data defined by up to four torsional degrees of freedom can be freely explored using a web interface of the module available at http://csdb.glycoscience.ru/database/core/search_conf.html.
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Affiliation(s)
- S I Scherbinina
- Higher Chemical College, D. Mendeleev University of Chemical Technology of Russia, Miusskaya Square 9, 125047 Moscow, Russia
| | - M Frank
- Biognos AB, Box 8963, 40274 Göteborg, Sweden
| | - P V Toukach
- N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Science, Leninsky prospect 47, 119991 Moscow, Russia
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6
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Głazowska S, Mravec J. An aptamer highly specific to cellulose enables the analysis of the association of cellulose with matrix cell wall polymers in vitro and in muro. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2021; 108:579-599. [PMID: 34314513 DOI: 10.1111/tpj.15442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 06/27/2021] [Accepted: 07/20/2021] [Indexed: 06/13/2023]
Abstract
The current toolbox of cell wall-directed molecular probes has been pivotal for advancing basic and application-oriented plant carbohydrate research; however, it still exhibits limitations regarding target diversity and specificity. Scarcity of probes targeting intramolecular associations between cell wall polymers particularly hinders our understanding of the cell wall microstructure and affects the development of effective means for its efficient deconstruction for bioconversion. Here we report a detailed characterization of a cellulose-binding DNA aptamer CELAPT MINI using a combination of various in vitro biochemical, biophysical, and molecular biology techniques. Our results show evidence for its high specificity towards long non-substituted β-(1-4)-glucan chains in both crystalline and amorphous forms. Fluorescent conjugates of CELAPT MINI are applicable as in situ cellulose probes and are well suited for various microscopy techniques, including super-resolution imaging. Compatibility of fluorescent CELAPT MINI variants with immunodetection of cell wall matrix polymers enabled them simultaneously to resolve the fibrillar organization of complex cellulose-enriched pulp material and to quantify the level of cellulose masking by xyloglucan and xylan. Using enzymatically, chemically, or genetically modulated Brachypodium internode sections we showed the diversity in cell wall packing among various cell types and even cell wall microdomains. We showed that xylan is the most prominent, but not the only, cellulose-masking agent in Brachypodium internode tissues. These results collectively highlight the hitherto unexplored potential to expand the cell wall probing toolbox with highly specific and versatile in vitro generated polynucleotide probes.
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Affiliation(s)
- Sylwia Głazowska
- Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Frederiksberg, DK-1871, Denmark
| | - Jozef Mravec
- Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Frederiksberg, DK-1871, Denmark
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7
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Taujale R, Soleymani S, Priyadarshi A, Venkat A, Yeung W, Kochut KJ, Kannan N. GTXplorer: A portal to navigate and visualize the evolutionary information encoded in fold a glycosyltransferases. Glycobiology 2021; 31:1472-1477. [PMID: 34351427 DOI: 10.1093/glycob/cwab082] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 07/22/2021] [Accepted: 07/22/2021] [Indexed: 11/12/2022] Open
Abstract
Glycosyltransferases (GTs) play a central role in sustaining all forms of life through the biosynthesis of complex carbohydrates. Despite significant strides made in recent years to establish computational resources, databases, and tools to understand the nature and role of carbohydrates and related glycoenzymes, a data analytics framework that connects the sequence-structure-function relationships to the evolution of GTs is currently lacking. This hinders the characterization of understudied GTs and the synthetic design of GTs for medical and biotechnology applications. Here, we present GTXplorer as an integrated platform that presents evolutionary information of GTs adopting a GT-A fold in an intuitive format enabling in silico investigation through comparative sequence analysis to derive informed hypotheses about their function. The tree view mode provides an overview of the evolutionary relationships of GT-A families and allows users to select phylogenetically relevant families for comparisons. The selected families can then be compared in the alignment view at the residue level using annotated weblogo stacks of the GT-A core specific to the selected clade, family, or subfamily. All data are easily accessible and can be downloaded for further analysis. GTXplorer can be accessed at https://vulcan.cs.uga.edu/gtxplorer/ or from GitHub at https://github.com/esbgkannan/GTxplorer to deploy locally. By packaging multiple data streams into an accessible, user-friendly format, GTXplorer presents the first evolutionary data analytics platform for comparative glycomics.
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Affiliation(s)
- Rahil Taujale
- Institute of Bioinformatics.,Complex Carbohydrate Research Center
| | | | | | - Aarya Venkat
- Biochemistry and Molecular Biology, University of Georgia, Athens, GA
| | | | | | - Natarajan Kannan
- Institute of Bioinformatics.,Biochemistry and Molecular Biology, University of Georgia, Athens, GA
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8
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Zhao L, Pan F, Mehmood A, Zhang H, Ur Rehman A, Li J, Hao S, Wang C. Improved color stability of anthocyanins in the presence of ascorbic acid with the combination of rosmarinic acid and xanthan gum. Food Chem 2021; 351:129317. [PMID: 33636535 DOI: 10.1016/j.foodchem.2021.129317] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 01/11/2021] [Accepted: 02/05/2021] [Indexed: 12/31/2022]
Abstract
This study investigated the protective effect and mechanism of action of combined use of rosmarinic acid (RA) and xanthan gum (XG) on the stability of anthocyanins (ACNs) in the presence of l-ascorbic acid (pH 3.0). The addition of RA and XG, alone and in combination, significantly enhanced the color stability of ACNs, and the combined use of RA and XG showed the best effect. FTIR, 1H NMR, AFM and computational molecular simulation analyses revealed that the improvement in ACN stability following the combined addition of RA and XG was due to intermolecular interactions such as hydrogen bonding and van der Waals forces. In the ACN-RA-XG ternary complexes, XG had stronger binding interactions with ACNs than RA. Our findings provide a valuable potential to enhance the stability of ACNs in the presence of ascorbic acid with the combined use of RA and XG.
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Affiliation(s)
- Lei Zhao
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, Beijing 100048, China.
| | - Fei Pan
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, Beijing 100048, China
| | - Arshad Mehmood
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, Beijing 100048, China
| | - Huimin Zhang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, Beijing 100048, China
| | - Ashfaq Ur Rehman
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Jiayi Li
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Shuai Hao
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, Beijing 100048, China
| | - Chengtao Wang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, Beijing 100048, China.
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9
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Celik S, Demirag AD, E. Ozel A, Akyuz S. Molecular Structure, Molecular Docking and Absorption, Distribution, Metabolism, Excretion and Toxicity study of cellulose II. J CHIN CHEM SOC-TAIP 2021. [DOI: 10.1002/jccs.202000515] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Sefa Celik
- Faculty of Science, Department of Physics Istanbul University Istanbul Turkey
| | - Aliye Demet Demirag
- Department of Physics, Institute of Graduate Studies in Sciences Istanbul University Istanbul Turkey
| | - Aysen E. Ozel
- Faculty of Science, Department of Physics Istanbul University Istanbul Turkey
| | - Sevim Akyuz
- Faculty of Science and Letters, Department of Physics Istanbul Kultur University Istanbul Turkey
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10
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Triple-helix polysaccharides: Formation mechanisms and analytical methods. Carbohydr Polym 2021; 262:117962. [PMID: 33838830 DOI: 10.1016/j.carbpol.2021.117962] [Citation(s) in RCA: 79] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Revised: 03/15/2021] [Accepted: 03/15/2021] [Indexed: 12/26/2022]
Abstract
Triple helix conformation of polysaccharides is generally believed to be associated with their biological activities. However, the formation mechanisms and analytical methods for the triple helix polysaccharides, to our best knowledge, have not been systematically investigated. This article reviews specifically the literature on the formation and characterization of triple-helix polysaccharides. The formation mechanisms and related structural-conformation-bioactivity relationships are discussed; various analytical methods for characterizing triple-helix polysaccharides are summarized. This review devotes to a better understanding of the formation of polysaccharides based triple-helix structure and related analytical methods. These could provide some insights and inspirations for their applications in both food and pharmaceutical industries.
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11
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Schahl A, Gerber IC, Réat V, Jolibois F. Diversity of the Hydrogen Bond Network and Its Impact on NMR Parameters of Amylose B Polymorph: A Study Using Molecular Dynamics and DFT Calculations Within Periodic Boundary Conditions. J Phys Chem B 2020; 125:158-168. [PMID: 33356276 DOI: 10.1021/acs.jpcb.0c08631] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Classical molecular dynamics simulations have been combined with quantum (DFT) calculations of 13C NMR parameters in order to relate the experimental spectrum of the double-helix form of the amylose B-polymorph in highly crystalline conditions not only to its 3D structure but also to the arrangement of atoms in the crystal lattice. Structures obtained from these simulations or from geometry optimization procedures at the DFT level have shown the presence of hydrogen bond networks between sugars of the same helix or between residues of the two chains of the double helix. 13C NMR parameter calculations have revealed the impact of such a network on the chemical shifts of carbon atoms. In addition, DFT calculations using periodic boundary conditions were compulsory to highlight the presence of two types of sugar within the crystal sample. It allows us to confirm, theoretically, the experimental hypothesis that the existence of two distinct sugar types in the NMR spectrum is a consequence of crystal packing.
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Affiliation(s)
- Adrien Schahl
- LPCNO, CNRS UMR 5215, Université de Toulouse-INSA-UPS, 135 av. Rangueil, F-31077 Toulouse, France.,Institut de Pharmacologie et Biologie Structurale, UMR 5089, CNRS-Université de Toulouse-UPS BP 64182, 205 route de Narbonne, 31077 Toulouse, Cedex 04, France
| | - Iann C Gerber
- LPCNO, CNRS UMR 5215, Université de Toulouse-INSA-UPS, 135 av. Rangueil, F-31077 Toulouse, France
| | - Valérie Réat
- Institut de Pharmacologie et Biologie Structurale, UMR 5089, CNRS-Université de Toulouse-UPS BP 64182, 205 route de Narbonne, 31077 Toulouse, Cedex 04, France
| | - Franck Jolibois
- LPCNO, CNRS UMR 5215, Université de Toulouse-INSA-UPS, 135 av. Rangueil, F-31077 Toulouse, France
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12
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Scherbinina SI, Toukach PV. Three-Dimensional Structures of Carbohydrates and Where to Find Them. Int J Mol Sci 2020; 21:E7702. [PMID: 33081008 PMCID: PMC7593929 DOI: 10.3390/ijms21207702] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2020] [Revised: 10/15/2020] [Accepted: 10/16/2020] [Indexed: 02/06/2023] Open
Abstract
Analysis and systematization of accumulated data on carbohydrate structural diversity is a subject of great interest for structural glycobiology. Despite being a challenging task, development of computational methods for efficient treatment and management of spatial (3D) structural features of carbohydrates breaks new ground in modern glycoscience. This review is dedicated to approaches of chemo- and glyco-informatics towards 3D structural data generation, deposition and processing in regard to carbohydrates and their derivatives. Databases, molecular modeling and experimental data validation services, and structure visualization facilities developed for last five years are reviewed.
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Affiliation(s)
- Sofya I. Scherbinina
- N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Science, Leninsky prospect 47, 119991 Moscow, Russia
- Higher Chemical College, D. Mendeleev University of Chemical Technology of Russia, Miusskaya Square 9, 125047 Moscow, Russia
| | - Philip V. Toukach
- N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Science, Leninsky prospect 47, 119991 Moscow, Russia
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13
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Krishnan B, Srivastava SS, Sankeshi V, Garg R, Srivastava S, Sankaranarayanan R, Sharma Y. βγ-Crystallination Endows a Novel Bacterial Glycoside Hydrolase 64 with Ca 2+-Dependent Activity Modulation. J Bacteriol 2019; 201:e00392-19. [PMID: 31527113 PMCID: PMC6832075 DOI: 10.1128/jb.00392-19] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2019] [Accepted: 09/05/2019] [Indexed: 01/10/2023] Open
Abstract
The prokaryotic βγ-crystallins are a large group of uncharacterized domains with Ca2+-binding motifs. We have observed that a vast number of these domains are found appended to other domains, in particular, the carbohydrate-active enzyme (CAZy) domains. To elucidate the functional significance of these prospective Ca2+ sensors in bacteria and this widespread domain association, we have studied one typical example from Clostridium beijerinckii, a bacterium known for its ability to produce acetone, butanol, and ethanol through fermentation of several carbohydrates. This novel glycoside hydrolase of family 64 (GH64), which we named glucanallin, is composed of a βγ-crystallin domain, a GH64 domain, and a carbohydrate-binding module 56 (CBM56). The substrates of GH64, β-1,3-glucans, are the targets for industrial biofuel production due to their plenitude. We have examined the Ca2+-binding properties of this protein, assayed its enzymatic activity, and analyzed the structural features of the β-1,3-glucanase domain through its high-resolution crystal structure. The reaction products resulting from the enzyme reaction of glucanallin reinforce the mixed nature of GH64 enzymes, in contrast to the prevailing notion of them being an exotype. Upon disabling Ca2+ binding and comparing different domain combinations, we demonstrate that the βγ-crystallin domain in glucanallin acts as a Ca2+ sensor and enhances the glycolytic activity of glucanallin through Ca2+ binding. We also compare the structural peculiarities of this new member of the GH64 family to two previously studied members.IMPORTANCE We have biochemically and structurally characterized a novel glucanase from the less studied GH64 family in a bacterium significant for fermentation of carbohydrates into biofuels. This enzyme displays a peculiar property of being distally modulated by Ca2+ via assistance from a neighboring βγ-crystallin domain, likely through changes in the domain interface. In addition, this enzyme is found to be optimized for functioning in an acidic environment, which is in line with the possibility of its involvement in biofuel production. Multiple occurrences of a similar domain architecture suggest that such a "βγ-crystallination"-mediated Ca2+ sensitivity may be widespread among bacterial proteins.
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Affiliation(s)
- Bal Krishnan
- CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India
- Indian Institute of Science Education and Research Berhampur, Odisha, India
| | | | - Venu Sankeshi
- CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India
| | - Rupsi Garg
- CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India
| | | | | | - Yogendra Sharma
- CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India
- Indian Institute of Science Education and Research Berhampur, Odisha, India
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14
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Vu VV, Hangasky JA, Detomasi TC, Henry SJW, Ngo ST, Span EA, Marletta MA. Substrate selectivity in starch polysaccharide monooxygenases. J Biol Chem 2019; 294:12157-12166. [PMID: 31235519 DOI: 10.1074/jbc.ra119.009509] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Revised: 06/21/2019] [Indexed: 11/06/2022] Open
Abstract
Degradation of polysaccharides is central to numerous biological and industrial processes. Starch-active polysaccharide monooxygenases (AA13 PMOs) oxidatively degrade starch and can potentially be used with industrial amylases to convert starch into a fermentable carbohydrate. The oxidative activities of the starch-active PMOs from the fungi Neurospora crassa and Myceliophthora thermophila, NcAA13 and MtAA13, respectively, on three different starch substrates are reported here. Using high-performance anion-exchange chromatography coupled with pulsed amperometry detection, we observed that both enzymes have significantly higher oxidative activity on amylose than on amylopectin and cornstarch. Analysis of the product distribution revealed that NcAA13 and MtAA13 more frequently oxidize glycosidic linkages separated by multiples of a helical turn consisting of six glucose units on the same amylose helix. Docking studies identified important residues that are involved in amylose binding and suggest that the shallow groove that spans the active-site surface of AA13 PMOs favors the binding of helical amylose substrates over nonhelical substrates. Truncations of NcAA13 that removed its native carbohydrate-binding module resulted in diminished binding to amylose, but truncated NcAA13 still favored amylose oxidation over other starch substrates. These findings establish that AA13 PMOs preferentially bind and oxidize the helical starch substrate amylose. Moreover, the product distributions of these two enzymes suggest a unique interaction with starch substrates.
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Affiliation(s)
- Van V Vu
- Nguyen Tat Thanh Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City 70000, Vietnam.
| | - John A Hangasky
- California Institute for Quantitative Biosciences, University of California, Berkeley, California 94720
| | - Tyler C Detomasi
- Department of Chemistry, University of California, Berkeley, California 94720
| | - Skylar J W Henry
- Department of Molecular and Cell Biology, University of California, Berkeley, California 94720
| | - Son Tung Ngo
- Laboratory of Theoretical and Computational Biophysics, Ton Duc Thang University, Ho Chi Minh City 758307, Vietnam; Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City 758307, Vietnam
| | - Elise A Span
- Biophysics Graduate Group, University of California, Berkeley, California 94720
| | - Michael A Marletta
- California Institute for Quantitative Biosciences, University of California, Berkeley, California 94720; Department of Chemistry, University of California, Berkeley, California 94720; Department of Molecular and Cell Biology, University of California, Berkeley, California 94720.
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15
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Birch J, Van Calsteren MR, Pérez S, Svensson B. The exopolysaccharide properties and structures database: EPS-DB. Application to bacterial exopolysaccharides. Carbohydr Polym 2019; 205:565-570. [DOI: 10.1016/j.carbpol.2018.10.063] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Revised: 10/19/2018] [Accepted: 10/21/2018] [Indexed: 11/27/2022]
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16
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Benito-Arenas R, Doncel-Pérez E, Fernández-Gutiérrez M, Garrido L, García-Junceda E, Revuelta J, Bastida A, Fernández-Mayoralas A. A holistic approach to unravelling chondroitin sulfation: Correlations between surface charge, structure and binding to growth factors. Carbohydr Polym 2018; 202:211-218. [DOI: 10.1016/j.carbpol.2018.08.120] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Revised: 08/12/2018] [Accepted: 08/27/2018] [Indexed: 01/08/2023]
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17
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Sung KH, Josewski J, Dübel S, Blankenfeldt W, Rau U. Structural insights into antigen recognition of an anti-β-(1,6)-β-(1,3)-D-glucan antibody. Sci Rep 2018; 8:13652. [PMID: 30209318 PMCID: PMC6135813 DOI: 10.1038/s41598-018-31961-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Accepted: 08/30/2018] [Indexed: 11/09/2022] Open
Abstract
Schizophyllan (SCH) is a high molecular weight homopolysaccharide composed of a β-(1,3)-D-glucan main chain with branching β-(1,6)-bound D-glucose residues. It forms triple helices that are highly stable towards heat and extreme pH, which provides SCH with interesting properties for industrial and medical applications. The recombinant anti-SCH antibody JoJ48C11 recognizes SCH and related β-(1,6)-branched β-(1,3)-D-glucans, but details governing its specificity are not known. Here, we fill this gap by determining crystal structures of the antigen binding fragment (Fab) of JoJ48C11 in the apo form and in complex with the unbranched β-(1,3)-D-glucose hexamer laminarihexaose 3.0 and 2.4 Å resolution, respectively. Together with docking studies, this allowed construction of a JoJ48C11/triple-helical SCH complex, leading to the identification of eight amino acid residues of JoJ48C11 (Tyr27H, His35H, Trp47H, Trp100H, Asp105H; Asp49L, Lys52L, Trp90L) that contribute to the recognition of glucose units from all three chains of the SCH triple helix. The importance of these amino acids was confirmed by mutagenesis and ELISA-based analysis. Our work provides an explanation for the specific recognition of triple-helical β-(1,6)-branched β-(1,3)-D-glucans by JoJ48C11 and provides another structure example for anti-carbohydrate antibodies.
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Affiliation(s)
- Kwang Hoon Sung
- Structure and Function of Proteins, Helmholtz Centre for Infection Research, Inhoffenstraße 7, 38124, Braunschweig, Germany
| | - Jörn Josewski
- Department of Biotechnology, Institute for Biochemistry, Biotechnology and Bioinformatics, Technische Universität Braunschweig, Spielmannstraße 17, 38106, Braunschweig, Germany
| | - Stefan Dübel
- Department of Biotechnology, Institute for Biochemistry, Biotechnology and Bioinformatics, Technische Universität Braunschweig, Spielmannstraße 17, 38106, Braunschweig, Germany
| | - Wulf Blankenfeldt
- Structure and Function of Proteins, Helmholtz Centre for Infection Research, Inhoffenstraße 7, 38124, Braunschweig, Germany
- Department of Biotechnology, Institute for Biochemistry, Biotechnology and Bioinformatics, Technische Universität Braunschweig, Spielmannstraße 17, 38106, Braunschweig, Germany
| | - Udo Rau
- Department of Biotechnology, Institute for Biochemistry, Biotechnology and Bioinformatics, Technische Universität Braunschweig, Spielmannstraße 17, 38106, Braunschweig, Germany.
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18
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Dadou SM, El-Barghouthi MI, Alabdallah SK, Badwan AA, Antonijevic MD, Chowdhry BZ. Effect of Protonation State and N-Acetylation of Chitosan on Its Interaction with Xanthan Gum: A Molecular Dynamics Simulation Study. Mar Drugs 2017; 15:md15100298. [PMID: 28946687 PMCID: PMC5666406 DOI: 10.3390/md15100298] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Revised: 09/17/2017] [Accepted: 09/20/2017] [Indexed: 12/21/2022] Open
Abstract
Hydrophilic matrices composed of chitosan (CS) and xanthan gum (XG) complexes are of pharmaceutical interest in relation to drug delivery due to their ability to control the release of active ingredients. Molecular dynamics simulations (MDs) have been performed in order to obtain information pertaining to the effect of the state of protonation and degree of N-acetylation (DA) on the molecular conformation of chitosan and its ability to interact with xanthan gum in aqueous solutions. The conformational flexibility of CS was found to be highly dependent on its state of protonation. Upon complexation with XG, a substantial restriction in free rotation around the glycosidic bond was noticed in protonated CS dimers regardless of their DA, whereas deprotonated molecules preserved their free mobility. Calculated values for the free energy of binding between CS and XG revealed the dominant contribution of electrostatic forces on the formation of complexes and that the most stable complexes were formed when CS was at least half-protonated and the DA was ≤50%. The results obtained provide an insight into the main factors governing the interaction between CS and XG, such that they can be manipulated accordingly to produce complexes with the desired controlled-release effect.
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Affiliation(s)
- Suha M Dadou
- Department of Pharmaceutical, Chemical and Environmental Science, Faculty of Engineering and Science, University of Greenwich, Medway Campus, Chatham Maritime, Kent ME4 4TB, UK.
| | - Musa I El-Barghouthi
- Department of Chemistry, The Hashemite University, P.O. Box 150459, Zarqa 13115, Jordan.
| | - Samer K Alabdallah
- Department of Chemistry, The Hashemite University, P.O. Box 150459, Zarqa 13115, Jordan.
| | - Adnan A Badwan
- The Jordanian Pharmaceutical Manufacturing Company (PLC), Research and Innovation Centre, P.O. Box 94, Naor 11710, Jordan.
| | - Milan D Antonijevic
- Department of Pharmaceutical, Chemical and Environmental Science, Faculty of Engineering and Science, University of Greenwich, Medway Campus, Chatham Maritime, Kent ME4 4TB, UK.
| | - Babur Z Chowdhry
- Department of Pharmaceutical, Chemical and Environmental Science, Faculty of Engineering and Science, University of Greenwich, Medway Campus, Chatham Maritime, Kent ME4 4TB, UK.
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19
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Akune Y, Lin CH, Abrahams JL, Zhang J, Packer NH, Aoki-Kinoshita KF, Campbell MP. Comprehensive analysis of the N-glycan biosynthetic pathway using bioinformatics to generate UniCorn: A theoretical N-glycan structure database. Carbohydr Res 2016; 431:56-63. [PMID: 27318307 DOI: 10.1016/j.carres.2016.05.012] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Revised: 05/23/2016] [Accepted: 05/29/2016] [Indexed: 02/06/2023]
Abstract
Glycan structures attached to proteins are comprised of diverse monosaccharide sequences and linkages that are produced from precursor nucleotide-sugars by a series of glycosyltransferases. Databases of these structures are an essential resource for the interpretation of analytical data and the development of bioinformatics tools. However, with no template to predict what structures are possible the human glycan structure databases are incomplete and rely heavily on the curation of published, experimentally determined, glycan structure data. In this work, a library of 45 human glycosyltransferases was used to generate a theoretical database of N-glycan structures comprised of 15 or less monosaccharide residues. Enzyme specificities were sourced from major online databases including Kyoto Encyclopedia of Genes and Genomes (KEGG) Glycan, Consortium for Functional Glycomics (CFG), Carbohydrate-Active enZymes (CAZy), GlycoGene DataBase (GGDB) and BRENDA. Based on the known activities, more than 1.1 million theoretical structures and 4.7 million synthetic reactions were generated and stored in our database called UniCorn. Furthermore, we analyzed the differences between the predicted glycan structures in UniCorn and those contained in UniCarbKB (www.unicarbkb.org), a database which stores experimentally described glycan structures reported in the literature, and demonstrate that UniCorn can be used to aid in the assignment of ambiguous structures whilst also serving as a discovery database.
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Affiliation(s)
- Yukie Akune
- Department of Chemistry and Biomolecular Sciences, Faculty of Science & Engineering, Macquarie University, Balaclava Road, North Ryde, NSW, 2109, Australia; Department of Bioinformatics, Graduate School of Engineering, Soka University, 1-236, Tangi, Hachioji, 192-8577, Tokyo, Japan
| | - Chi-Hung Lin
- Department of Chemistry and Biomolecular Sciences, Faculty of Science & Engineering, Macquarie University, Balaclava Road, North Ryde, NSW, 2109, Australia
| | - Jodie L Abrahams
- Department of Chemistry and Biomolecular Sciences, Faculty of Science & Engineering, Macquarie University, Balaclava Road, North Ryde, NSW, 2109, Australia
| | - Jingyu Zhang
- Department of Chemistry and Biomolecular Sciences, Faculty of Science & Engineering, Macquarie University, Balaclava Road, North Ryde, NSW, 2109, Australia
| | - Nicolle H Packer
- Department of Chemistry and Biomolecular Sciences, Faculty of Science & Engineering, Macquarie University, Balaclava Road, North Ryde, NSW, 2109, Australia
| | - Kiyoko F Aoki-Kinoshita
- Department of Bioinformatics, Graduate School of Engineering, Soka University, 1-236, Tangi, Hachioji, 192-8577, Tokyo, Japan
| | - Matthew P Campbell
- Department of Chemistry and Biomolecular Sciences, Faculty of Science & Engineering, Macquarie University, Balaclava Road, North Ryde, NSW, 2109, Australia.
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20
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Sarkar A, Drouillard S, Rivet A, Perez S. Databases of Conformations and NMR Structures of Glycan Determinants. Glycobiology 2015; 25:1480-90. [PMID: 26240168 DOI: 10.1093/glycob/cwv054] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2015] [Accepted: 07/15/2015] [Indexed: 11/13/2022] Open
Abstract
The present study reports a comprehensive nuclear magnetic resonance (NMR) characterization and a systematic conformational sampling of the conformational preferences of 170 glycan moieties of glycosphingolipids as produced in large-scale quantities by bacterial fermentation. These glycans span across a variety of families including the blood group antigens (A, B and O), core structures (Types 1, 2 and 4), fucosylated oligosaccharides (core and lacto-series), sialylated oligosaccharides (Types 1 and 2), Lewis antigens, GPI-anchors and globosides. A complementary set of about 100 glycan determinants occurring in glycoproteins and glycosaminoglycans has also been structurally characterized using molecular mechanics-based computation. The experimental and computational data generated are organized in two relational databases that can be queried by the user through a user-friendly search engine. The NMR ((1)H and (13)C, COSY, TOCSY, HMQC, HMBC correlation) spectra and 3D structures are available for visualization and download in commonly used structure formats. Emphasis has been given to the use of a common nomenclature for the structural encoding of the carbohydrates and each glycan molecule is described by four different types of representations in order to cope with the different usages in chemistry and biology. These web-based databases were developed with non-proprietary software and are open access for the scientific community available at http://glyco3d.cermav.cnrs.fr.
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Affiliation(s)
- Anita Sarkar
- Centre de Recherches sur les Macromolécules Végétales, UPR5301 CNRS-Université Grenoble Alpes, BP53, 38041 Grenoble cédex 09, France
| | - Sophie Drouillard
- Centre de Recherches sur les Macromolécules Végétales, UPR5301 CNRS-Université Grenoble Alpes, BP53, 38041 Grenoble cédex 09, France
| | - Alain Rivet
- Centre de Recherches sur les Macromolécules Végétales, UPR5301 CNRS-Université Grenoble Alpes, BP53, 38041 Grenoble cédex 09, France
| | - Serge Perez
- Centre de Recherches sur les Macromolécules Végétales, UPR5301 CNRS-Université Grenoble Alpes, BP53, 38041 Grenoble cédex 09, France Département de Pharmacochimie Moléculaire, UMR5063 CNRS-Université Grenoble Alpes, BP53, 38041 Grenoble cédex 09, France
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Abstract
The article reviews the significant contributions to, and the present status of, applications of computational methods for the characterization and prediction of protein-carbohydrate interactions. After a presentation of the specific features of carbohydrate modeling, along with a brief description of the experimental data and general features of carbohydrate-protein interactions, the survey provides a thorough coverage of the available computational methods and tools. At the quantum-mechanical level, the use of both molecular orbitals and density-functional theory is critically assessed. These are followed by a presentation and critical evaluation of the applications of semiempirical and empirical methods: QM/MM, molecular dynamics, free-energy calculations, metadynamics, molecular robotics, and others. The usefulness of molecular docking in structural glycobiology is evaluated by considering recent docking- validation studies on a range of protein targets. The range of applications of these theoretical methods provides insights into the structural, energetic, and mechanistic facets that occur in the course of the recognition processes. Selected examples are provided to exemplify the usefulness and the present limitations of these computational methods in their ability to assist in elucidation of the structural basis underlying the diverse function and biological roles of carbohydrates in their dialogue with proteins. These test cases cover the field of both carbohydrate biosynthesis and glycosyltransferases, as well as glycoside hydrolases. The phenomenon of (macro)molecular recognition is illustrated for the interactions of carbohydrates with such proteins as lectins, monoclonal antibodies, GAG-binding proteins, porins, and viruses.
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Affiliation(s)
- Serge Pérez
- Department of Molecular Pharmacochemistry, CNRS, University Grenoble-Alpes, Grenoble, France.
| | - Igor Tvaroška
- Department of Chemistry, Slovak Academy of Sciences, Bratislava, Slovak Republic; Department of Chemistry, Faculty of Natural Sciences, Constantine The Philosopher University, Nitra, Slovak Republic.
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22
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Jin L, Liu K, Aoki Y. Interaction of OH− with xylan and its hydrated complexes: structures and molecular dynamics study using elongation method. J Mol Model 2015; 21:117. [DOI: 10.1007/s00894-015-2666-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2014] [Accepted: 03/23/2015] [Indexed: 10/23/2022]
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23
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Pérez S, Sarkar A, Rivet A, Breton C, Imberty A. Glyco3D: a portal for structural glycosciences. Methods Mol Biol 2015; 1273:241-258. [PMID: 25753716 DOI: 10.1007/978-1-4939-2343-4_18] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
The present work describes, in a detailed way, a family of databases covering the three-dimensional features of monosaccharides, disaccharides, oligosaccharides, polysaccharides, glycosyltransferases, lectins, monoclonal antibodies against carbohydrates, and glycosaminoglycan-binding proteins. These databases have been developed with non-proprietary software, and they are open freely to the scientific community. They are accessible through the common portal called "Glyco3D" http://www.glyco3d.cermav.cnrs.fr. The databases are accompanied by a user-friendly graphical user interface (GUI) which offers several search options. All three-dimensional structures are available for visual consultations (with basic measurements possibilities) and can be downloaded in commonly used formats for further uses.
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Affiliation(s)
- Serge Pérez
- Centre de Recherches sur les Macromolécules Végétales, UPR5301, CNRS - Université Grenoble Alpes, BP53, 38041, Grenoble cédex 09, France
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Three-dimensional representations of complex carbohydrates and polysaccharides--SweetUnityMol: A video game-based computer graphic software. Glycobiology 2014; 25:483-91. [DOI: 10.1093/glycob/cwu133] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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25
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Liwo A, Baranowski M, Czaplewski C, Gołaś E, He Y, Jagieła D, Krupa P, Maciejczyk M, Makowski M, Mozolewska MA, Niadzvedtski A, Ołdziej S, Scheraga HA, Sieradzan AK, Slusarz R, Wirecki T, Yin Y, Zaborowski B. A unified coarse-grained model of biological macromolecules based on mean-field multipole-multipole interactions. J Mol Model 2014; 20:2306. [PMID: 25024008 PMCID: PMC4139597 DOI: 10.1007/s00894-014-2306-5] [Citation(s) in RCA: 108] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2014] [Accepted: 05/12/2014] [Indexed: 12/14/2022]
Abstract
A unified coarse-grained model of three major classes of biological molecules—proteins, nucleic acids, and polysaccharides—has been developed. It is based on the observations that the repeated units of biopolymers (peptide groups, nucleic acid bases, sugar rings) are highly polar and their charge distributions can be represented crudely as point multipoles. The model is an extension of the united residue (UNRES) coarse-grained model of proteins developed previously in our laboratory. The respective force fields are defined as the potentials of mean force of biomacromolecules immersed in water, where all degrees of freedom not considered in the model have been averaged out. Reducing the representation to one center per polar interaction site leads to the representation of average site–site interactions as mean-field dipole–dipole interactions. Further expansion of the potentials of mean force of biopolymer chains into Kubo’s cluster-cumulant series leads to the appearance of mean-field dipole–dipole interactions, averaged in the context of local interactions within a biopolymer unit. These mean-field interactions account for the formation of regular structures encountered in biomacromolecules, e.g., α-helices and β-sheets in proteins, double helices in nucleic acids, and helicoidally packed structures in polysaccharides, which enables us to use a greatly reduced number of interacting sites without sacrificing the ability to reproduce the correct architecture. This reduction results in an extension of the simulation timescale by more than four orders of magnitude compared to the all-atom representation. Examples of the performance of the model are presented. Components of the Unified Coarse Grained Model (UCGM) of biological macromolecules ![]()
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Affiliation(s)
- Adam Liwo
- Faculty of Chemistry, University of Gdańsk, ul. Wita Stwosza 63, 80-308, Gdańsk, Poland,
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26
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Aoki-Kinoshita KF. Using databases and web resources for glycomics research. Mol Cell Proteomics 2013; 12:1036-45. [PMID: 23325765 DOI: 10.1074/mcp.r112.026252] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Many databases of carbohydrate structures and related information can be found on the World Wide Web. This review covers the major carbohydrate databases that have potential utility for glycoscientists and researchers entering the glycosciences. The first half provides a brief overview of carbohydrate databases and web resources (including a history of carbohydrate databases and carbohydrate notations used in these databases), and the second half provides a guide that can be used as an index to determine which resources provide the data of most interest to the user.
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Affiliation(s)
- Kiyoko F Aoki-Kinoshita
- Department of Bioinformatics, Faculty of Engineering, Soka University, 1-236 Tangi-machi, Hachioji, Tokyo, Japan.
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